Advertisement

Introduction

  • G. Larry Bretthorst
Part of the Lecture Notes in Statistics book series (LNS, volume 48)

Abstract

Experiments are performed in three general steps: first, the experiment must be designed; second, the data must be gathered; and third, the data must be analyzed. These three steps are highly idealized, and no clear boundary exists between them. The problem of analyzing the data is one that should be faced early in the design phase. Gathering the data in such a way as to learn the most about a phenomenon is what doing an experiment is all about. It will do an experimenter little good to obtain a set of data that does not bear directly on the model, or hypotheses, to be tested.

Keywords

Prior Information Discrete Fourier Transform Nuisance Parameter Parameter Estimation Problem Chirp Rate 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

Copyright information

© Springer-Verlag Berlin Heidelberg 1988

Authors and Affiliations

  • G. Larry Bretthorst
    • 1
  1. 1.Department of ChemistryWashington UniversityUSA

Personalised recommendations